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def delimited(filename, delimiter=' ', bufsize=4096):
    '''
    Creates a generator of word from a file based on a delimiter (by default white space).
    '''
    
    buf = ''
    with open(filename) as file:
        while True:
            newbuf = file.read(bufsize)
            if not newbuf:

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(defun read-lines (filePath)
  "Return a list of lines of a file at filePath."
  (with-temp-buffer
    (insert-file-contents filePath)
    (split-string (buffer-string) "\n" t)))

(defun parse-spec (s)
  (let ( (parsed  (split-string s " " t)    )  )

    (list

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def apply_processors(processors, df, callback=None):
    def _callback(processor, df):
        if callback is None:
            return
        callback(processor, df)

    for fn in processors:
        df = fn(df)
        _callback(fn, df)

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Installing the NVIDIA driver, CUDA and cuDNN on Linux (Ubuntu 20.04)

This is a companion piece to my instructions on building TensorFlow from source. In particular, the aim is to install the following pieces of software

• NVIDIA graphics card driver (v450.57)
• CUDA (v11.0.2)
• cuDNN (v8.0.2.39)

on an Ubuntu Linux system, in particular Ubuntu 20.04.

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Braking

Standard Braking Distance

• DE: (Geschwindigkeit / 10) * (Geschwindigkeit / 10)
• EN: (Speed / 10) * (Speed / 10)

Evasive (Emergency) Braking Distance

• DE: ((Geschwindigkeit / 10) * (Geschwindigkeit / 10)) / 2
• EN: ((Speed / 10) * (Speed / 10)) / 2

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---
- name: Install MacOS Packages
  hosts: localhost
  become: false
  vars:
    brew_cask_packages:
      - 'atom'
      - 'docker'
      - 'dropbox'
      - 'firefox'

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sed -i ".bak" -E 's/self\.assertFalse\((.*)\)/assert not \1/g' tests/*.py
sed -i ".bak" -E 's/self\.assertTrue\((.*)\)/assert \1/g' tests/*.py
sed -i ".bak" -E 's/self\.assertEqual\(([^,]*), (.*)\)$/assert \1 == \2/g' tests/*.py
sed -i ".bak" -E 's/self\.assertIn\(([^,]*), (.*)\)$/assert \1 in \2/g' tests/*.py
sed -i ".bak" -E 's/self\.assertNotEqual\(([^,]*), (.*)\)$/assert \1 != \2/g' tests/*.py
sed -i ".bak" -E 's/self\.assertNotIn\(([^,]*), (.*)\)$/assert \1 not in \2/g' tests/*.py
sed -i ".bak" -E 's/self\.assertIsNone\((.*)\)$/assert \1 is None/g' tests/*.py
sed -i ".bak" -E 's/self\.assertIsNotNone\((.*)\)$/assert \1 is not None/g' tests/*.py
sed -i ".bak" -E 's/self\.assertAlmostEqual\(([^,]*), (.*)\)$/\2 == pytest.approx\(\1\)/g'  tests/*.py

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#!/usr/bin/perl

# Program to filter Wikipedia XML dumps to "clean" text consisting only of lowercase
# letters (a-z, converted from A-Z), and spaces (never consecutive).  
# All other characters are converted to spaces.  Only text which normally appears 
# in the web browser is displayed.  Tables are removed.  Image captions are 
# preserved.  Links are converted to normal text.  Digits are spelled out.

# Adapted for the german language based on the script written by Matt Mahoney
# http://mattmahoney.net/dc/textdata.html  

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# Note – this is not a bash script (some of the steps require reboot)
# I named it .sh just so Github does correct syntax highlighting.
# This install Tensorflow 0.11, Cuda 8.0 and cudnn-8.0
# The CUDA part is mostly based on this excellent blog post:
# http://tleyden.github.io/blog/2014/10/25/cuda-6-dot-5-on-aws-gpu-instance-running-ubuntu-14-dot-04/
# I extened Erick using additional instructions from http://ramhiser.com/2016/01/05/installing-tensorflow-on-an-aws-ec2-instance-with-gpu-support/

# Install various packages
sudo apt-get update
sudo apt-get upgrade -y # choose “install package maintainers version”

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;; Doopla
(defun doopla ()
  (interactive)
  (with-output-to-temp-buffer "*doopla*"
    (shell-command "doopla 2>/dev/null  &" "*doopla*" "*Messages*")
    (pop-to-buffer "*doopla*")))